The Laboratory for Dynamics and Control of Nanosystems (LDCN) is a multi-million dollar state-of-the-art research facility dedicated to the advancement of nanotechnology through innovations in systems theory and control engineering. The main thrust of research in the laboratory is to develop methodologies, technologies, and the necessary instrumentation for fast and accurate interrogation and manipulation of matter at the nanoscale. LDCN's multidisciplinary research team pursues a dynamic and active research program that maintains a solid systems and control focus on a variety of emerging applications in nanotechnology.


Department of Systems Engineering
Erik Jonsson School of Engineering & Computer Science
The University of Texas at Dallas
800 West Campbell Rd, Richardson, TX 75080, USA

Ph: +1 972 883 4158
Email: Reza.Moheimani@utdallas.edu

Location information


Recent News


LDCN receives Phase-II STTR funding from Department of Energy
April 17, 2019
Reza Moheimani and James Owen (Zyvex Labs) have won a Department of Energy (DOE) Phase-II Small Business Technology Transfer (STTR) award. The project “High Speed
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Australian Research Council Discovery Grant Awarded
April 17, 2019
Reza Moheimani is a Partner Investigator on the ARC Discovery Grant: "Robust Control of Highly Resonant Flexible and Nanoscale Systems" that was recently selected for
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Read the UTD news item on recent DOE Award
March 17, 2019
$2.4 Million Grant Gives Big Boost to Atomic-Level Manufacturing Project
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Paper is selected to receive IEEE TCST Outstanding Paper Award
January 7, 2019
The paper titled "Multimode Q Control in Tapping-Mode AFM: Enabling Imaging on Higher Flexural Eigenmodes", published in IEEE Transactions on Control Systems Technology, vol. 24,
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Dr. Moheimani to deliver a Keynote Lecture at the 15th International Conference on Automation Technology
August 27, 2018
The conference will beheld in Taichung, Taiwan Dec. 6-8, 2018 http://auto2018.ncut.edu.tw/
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Recent Publications

M. B. Coskun, H. Alemansour, A. G. Fowler, M. Maroufi, S. O. R. Moheimani

Q Control of an Active AFM CantileverWith Differential Sensing Configuration (Journal Article)

IEEE Transactions on Control Systems Technology, 2019, (Accepted for publication).

(BibTeX | Links: )

F. Tajaddodianfar, S. O. R. Moheimani, J. N. Randall

Scanning Tunneling Microscope Control: A Self-Tuning PI Controller Based on Online Local Barrier Height Estimation (Journal Article)

IEEE Transactions on Control Systems Technology, 2019, (Accepted for publication).

(BibTeX | Links: )

A. Bazaei, Z. Chen, Y. K. Yong, S. O. R. Moheimani

A novel state transformation approach to tracking of piecewise linear trajectories (Journal Article)

IEEE Transactions on Control Systems Technology, 26 (1), pp. 128–138, 2018.

(BibTeX | Links: )

F. Tajaddodianfar, S. O. R. Moheimani, J. Owen, J. N. Randall

On the effect of local barrier height in scanning tunneling microscopy: Measurement methods and control implications (Journal Article)

Review of Scientific Instruments, 89 (1), pp. 013701, 2018.

(BibTeX | Links: )

M. G. Ruppert, A. G. Fowler, M. Maroufi, S. O. R. Moheimani

On-Chip Dynamic Mode Atomic Force Microscopy: A Silicon-on-Insulator MEMS Approach (Journal Article)

IEEE Journal of Microelectromechanical Systems, 26 (1), pp. 215 - 225, 2017.

(BibTeX | Links: )